| Module 1: Fundamentals & Concepts |
Reinforce core knowledge, as many participants rate themselves as 'Basic' or 'Moderate'. |
Stock assessment principles, data types, and their application. |
| Module 2: Data Collection Protocols |
A high-priority area. Address gaps in sampling design, quality control, and catch/effort data handling. |
Practical exercises on designing sampling schemes and ensuring data quality. |
| Module 3: Data-Limited Methods |
The most requested component and the area with the lowest self-assessed expertise (modeling). |
Focus on length-based models, empirical methods, and practical application using R. |